> Markdown version of [/jobs/ext/2871092-systems-architect](https://www.wearedevelopers.com/jobs/ext/2871092-systems-architect). Every page supports `.md` or `Accept: text/markdown`. Links point to the HTML versions so they work for humans too. Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md). --- # Systems Architect - **Company:** Era4 - **Location:** UK - **Salary:** £91,130.0 - **Contract:** Permanent contract - **Skills:** Artificial Intelligence, Computing Platforms, Software as a Service, Cloud Computing, Infrastructure as a Service (IaaS), Identity and Access Management, Open Source Technology, Platform as a Service (PAAS), Cloud Services, Systems Integration, AI Infrastructure, Ceph (Software), AI Platforms, Kubernetes, Hardware Infrastructure - **Published:** September 13, 2026 - **Apply:** https://www.adzuna.co.uk/jobs/details/5881131284 ## About the Role * Proven results designing scaled end to end systems (not just components, or end services). * An expert of infrastructure, cloud, or platform related Architecture/Engineering. * Exceptional experience designing Kubernetes and cloud native solutions at scale. * Commercial aptitude to enable performance, cost, time trade-offs and evolutions. * Proven experience defining target architectures and technology roadmaps. * Strong understanding of Infrastructure-as-code, automation, GitOps. * Experience of Open Source stacks including scale-out storage/object stores (Ceph). One or more would be an advantage: * Contribution to open-source projects in the IaaS/PaaS space. * Experience of building and consuming significant cloud services. * Commercial success of turning technology into a commercially successful product offering. * AI/ML System design and consumption practises. ## Description We are seeking a Systems Architect to define, design, and govern the architecture of our Kubernetes-based AI infrastructure. This role is responsible for translating business, customer, and regulatory requirements into scalable platform designs and technical specifications that guide platform engineering and operations teams. Work closely with Product Managers, Platform Engineers, ML engineers, and leadership to ensure the platform is secure, performant, resilient, and future-proof, enabling AI workloads at national-scale. This is an opportunity to define the end-to-end architecture of our AI platform, defining how Kubernetes, GPU infrastructure, networking, storage, and automation components integrate into a cohesive system. This is a design authority role, responsible for: * Platform blueprints * Technical standards * System-level decisions * Long-term scalability and evolution Provide clear specifications and boundaries that enable Platform Engineers to build and operate the platform effectively. Key Responsibilities: * Platform Architecture & Design Authority: * Produce high-level and low-level designs (HLDs/LLDs) for platform components. * Establish reference architectures for multi-tenant AI workloads. * Specify system and integrations across Kubernetes, IAM, PaaS, Observability and automation, ITSM, Security, Billing - the complete cloud service provider stack. * Define solutions for multi-tenant SaaS offerings for GPU cloud related offerings. ## Related Videos - [Reference Architecture of AI in the Cloud](https://www.wearedevelopers.com/videos/1613-reference-architecture-of-ai-in-the-cloud) - [Understanding Kubernetes in a visual way](https://www.wearedevelopers.com/videos/100085-understanding-kubernetes-in-a-visual-way) - [This App Reached 10,000 Users in One Week. Here's How.](https://www.wearedevelopers.com/videos/100329-this-app-reached-10-000-users-in-one-week-here-s-how) - [Leverage Cloud Computing Benefits with Serverless Multi-Cloud ML ](https://www.wearedevelopers.com/videos/78-leverage-cloud-computing-benefits-with-serverless-multi-cloud-ml) - [Shipping Faster with Less: Render on Cloud Hosting, AI Workloads, and the Future of DevOps](https://www.wearedevelopers.com/videos/1894-shipping-faster-with-less-render-on-cloud-hosting-ai-workloads-and-the-future-of-devops) - [Instant KAI Sandboxes with vCluster: Multi-Tenant, Multi-Scheduler GPU Sharing](https://www.wearedevelopers.com/videos/100333-instant-kai-sandboxes-with-vcluster-multi-tenant-multi-scheduler-gpu-sharing) ## Related Articles - [How We Built a Worry-Free System That Runs for 10+ Years – And What We’d Do Again](https://www.wearedevelopers.com/magazine/751-how-we-built-a-worry-free-system-that-runs-for-10-years-and-what-we-d-do-again) - [Navigating the AI Shift](https://www.wearedevelopers.com/magazine/629-navigating-the-ai-shift) - [7 Cloud Computing Trends Coming in 2025 for Developers](https://www.wearedevelopers.com/magazine/412-7-cloud-computing-trends-coming-in-2025-for-developers) - [What Are The Top Skills Required For Azure Developers?](https://www.wearedevelopers.com/magazine/77-what-are-the-top-skills-required-for-azure-developers) - [Best US AI Conferences for CTOs in 2026: Build vs. Buy, Vendor Evaluation, and Peer Intelligence](https://www.wearedevelopers.com/magazine/736-best-us-ai-conferences-for-ctos-in-2026-build-vs-buy-vendor-evaluation-and-peer-intelligence) - [Graph and AI Trends 2026: Why Is AI Running but Not Yet Delivering?](https://www.wearedevelopers.com/magazine/680-graph-and-ai-trends-2026-why-is-ai-running-but-not-yet-delivering)